Futoshi Yokota

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Segmentation of the femur and pelvis from 3D data is prerequisite of patient specific planning and simulation for hip surgery. Separation of the femoral head and acetabulum is one of main difficulties in the diseased hip joint due to deformed shapes and extreme narrowness of the joint space. In this paper, we develop a hierarchical multi-object statistical(More)
Segmentation of the femur and pelvis is a prerequisite for patient-specific planning and simulation for hip surgery. Accurate boundary determination of the femoral head and acetabulum is the primary challenge in diseased hip joints because of deformed shapes and extreme narrowness of the joint space. To overcome this difficulty, we investigated a(More)
GOAL In the following, we will present a newly developed X-ray calibration phantom and its integration for 2-D/3-D pelvis reconstruction and subsequent automatic cup planning. Two different planning strategies were applied and evaluated with clinical data. METHODS Two different cup planning methods were investigated: The first planning strategy is based(More)
Patient-specific musculoskeletal biomechanical simulation is useful in preoperative surgical planning and postoperative assessment in orthopedic surgery and rehabilitation medicine. A difficulty in application of the patient-specific musculoskeletal modeling comes from the fact that the muscle attachment regions are typically invisible in CT and MRI. Our(More)
A new method for acetabular cartilage segmentation in both computed tomography (CT) arthrography and magnetic resonance imaging (MRI) datasets with leg tension is developed and tested. The new segmentation method is based on the combination of shape and intensity information. Shape information is acquired according to the predictable nonlinear relationship(More)
This study describes the use of CT images in atlas-based automated planning methods for acetabular cup implants in total hip arthroplasty (THA). The objective of this study is to develop an automated cup planning method considering the statistical distribution of the residual thickness. From a number of past THA planning datasets, we construct two(More)
Accurate segmentation of the mandibular canal in cone beam CT data is a prerequisite for implant surgical planning. In this article, a new segmentation method based on the combination of anatomical and statistical information is presented to segment mandibular canal in CBCT scans. Generally, embedding shape information in segmentation models is challenging.(More)
AUTOMATED THA PLANNING: DETERMINATION OF STEM ANTEVERSION ANGLE USING STATISTICAL PREDICTION Yuki Nakanishi MS*, Yoshiyuki Kagiyama PhD, Futoshi Yokota PhD, Masaki Takao MD, Takeshi Ogawa MD, Nobuhiko Sugano MD, Yukio Tada PhD, Yoshito Otake PhD, Yoshinobu Sato PhD * Graduate School of System Informatics, Kobe University, Kobe, Japan 2 Interdisciplinary(More)